This fully funded PhD position at IMDEA Networks Institute focuses on applying explainable and robust AI techniques to Open Radio Access Network (O-RAN) systems. The research will involve designing mechanisms to interpret AI decision-making, optimizing AI lifecycle components, and addressing AI inconsistencies within O-RAN applications. The position provides the opportunity to work with large-scale real-world data and contribute to innovative research in the field of telecommunications AI. Strong programming skills, experience with network systems, and an interest in applied AI are required.